利用分块匹配滤波和低秩矩阵补全去除医学图像中的混合噪声

2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology Pub Date : 2012-09-27 DOI:10.1109/HISB.2012.59

Nafise Barzigar, Aminmohammad Roozgard, P. Verma, Samuel Cheng

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引用次数: 3

摘要

提出了一种基于低秩矩阵补全和分块匹配滤波的医学图像去噪方法。实验结果验证了该算法去除混合噪声的有效性。实验结果也证明了该算法在去除规则结构噪声方面的有效性。该方法在计算复杂度显著降低的情况下获得了相当的性能。

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Removing Mixture Noise from Medical Images Using Block Matching Filtering and Low-Rank Matrix Completion

In this paper, an efficient medical image denoising method based on low-rank matrix completion and block matching filtering is proposed. The effectiveness of the algorithm in removing the mixed noise is demonstrated through the results. The results also proved the effectiveness of this algorithm in removing noise from regular structures. This method results in comparable performance with significantly lower computation complexity.

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来源期刊

2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology

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